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Chapter 3: Conceptual Models for Spatio-temporal Applications

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Spatio-Temporal Databases

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2520))

Abstract

Improved support for modeling information systems involving time-varying, georeferenced information, termed spatio-temporal information, has been a longterm user requirement in a variety of areas, such as cadastral systems that capture the histories of landparcels, routing systems computing possible routes of vehicles, and weather forecasting systems. This chapter concerns the conceptual database design phase for such spatio-temporal information systems and presents two models, namely the spatio-temporal Entity Relationship (ER) Model and the Extended spatio-temporal Unified Modeling Language (UML) as proposed in [33,34] and [26], respectively.

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Author information

Authors and Affiliations

  1. Aalborg University, Denmark

    Nectaria Tryfona & Christian S. Jensen

  2. Monash University, Caulfield East, Australia

    Rosanne Price

Authors
  1. Nectaria Tryfona
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  2. Rosanne Price
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  3. Christian S. Jensen
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Editor information

Editors and Affiliations

  1. Institute for the Management of Information Systems (R.C. “Athena”), Athens, Hellas

    Timos K. Sellis

  2. National and Kapodistrian University of Athens, Greece

    Manolis Koubarakis

  3. Dept. of Geoinformation Technical University of Vienna A-1040, Vienna, Austria

    Andrew Frank

  4. INRIA-LIAMA Institute of Automation, Beijing, China

    Stéphane Grumbach

  5. LG Datenbanksysteme für neue Anwendungen, FB Informatik, Fernuniversität Hagen, D-58084, Hagen, Germany

    Ralf Hartmut Güting

  6. Informatics and Mathematical Modelling, Technical University of Denmark, 2800, Lyngby, Denmark

    Christian Jensen

  7. Informatics Laboratory, Agricultural University of Athens, Iera Odos 75, GR 11855, Athens, Greece

    Nikos A. Lorentzos

  8. Data Engineering Research Lab. Department of Informatics, Aristotle University, 54124, Thessaloniki, Greece

    Yannis Manolopoulos

  9. NESTOR – Multimedia services security and certification Laboratory, University of Rome “Tor Vergata”, Italy

    Enrico Nardelli

  10. Politecnico di Milano, Italy

    Barbara Pernici

  11. Institute of Science and Technology, University of Manchester, United Kingdom

    Babis Theodoulidis

  12. Research Academic Computer Technology Institute, Akteou 11, 11851, Athens, Greece

    Nectaria Tryfona

  13. Professor Emeritus of the Swiss Federal Institute of Technology (ETH), Zurich, Switzerland

    Hans-Jörg Schek

  14. Cedric, Conservatoire National des Arts et Métiers, 75141, Paris Cedex 03, France

    Michel O. Scholl

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© 2003 Springer-Verlag Berlin Heidelberg

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Tryfona, N., Price, R., Jensen, C.S. (2003). Chapter 3: Conceptual Models for Spatio-temporal Applications. In: Sellis, T.K., et al. Spatio-Temporal Databases. Lecture Notes in Computer Science, vol 2520. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45081-8_3

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  • DOI: https://doi.org/10.1007/978-3-540-45081-8_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40552-8

  • Online ISBN: 978-3-540-45081-8

  • eBook Packages: Springer Book Archive

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